Automated image analysis for diagnosing a medical condition

US11928859B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11928859-B2
Application numberUS-202217975268-A
CountryUS
Kind codeB2
Filing dateOct 27, 2022
Priority dateJun 20, 2016
Publication dateMar 12, 2024
Grant dateMar 12, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular anatomical view of a subject to image with an ultrasound device, guide an operator of the ultrasound device to capture an ultrasound image of the subject that contains the particular anatomical view, and/or analyze the captured ultrasound image to identify medical information about the subject.

First claim

Opening claim text (preview).

What is claimed is: 1. An ultrasound system, comprising: an ultrasound device; and a handheld computing device in operative communication with the ultrasound device, the handheld computing device comprising a display screen and configured to: obtain an electronic medical record of a subject; identify an organ associated with medical information contained in the electronic medical record; identify a target anatomical view of the identified organ of the subject to be imaged by the ultrasound device; display, on the display screen, a coarse instruction for capturing ultrasound data representing the target anatomical view, the coarse instruction comprising: a graphical image of the subject; and a graphical indication of where an operator should place the ultrasound device in order to capture the ultrasound data representing the target anatomical view, wherein the indication is superimposed on the graphical image of the subject; and display, on the display screen, a fine instruction for capturing the ultrasound data representing the target anatomical view, the fine instruction comprising an instruction selected from the group consisting of translating, rotating, and tilting the ultrasound device in order to capture the ultrasound data representing the target anatomical view. 2. The ultrasound system of claim 1 , wherein the handheld computing device is further configured to input the ultrasound data to a neural network to determine a diagnosis of a medical condition of the subject. 3. The ultrasound system of claim 1 , wherein the handheld computing device does not display ultrasound images generated based on the ultrasound data captured by the ultrasound device while displaying the coarse instruction or the fine instruction. 4. The ultrasound system of claim 1 , wherein the medical information contained in the electronic medical record comprises a symptom. 5. The ultrasound system of claim 1 , wherein the handheld computing device is configured to access the electronic medical record on a remote server. 6. The ultrasound system of claim 5 , wherein the handheld computing device is configured to scan a barcode to obtain information for accessing the electronic medical record on the remote server. 7. The ultrasound system of claim 1 , wherein when the electronic medical record indicates that the subject has symptoms of congestive heart failure, the handheld computing device is configured to identify a heart as the organ and to identify a parasternal long axis view of the heart as the target anatomical view. 8. The ultrasound system of claim 1 , wherein the coarse instruction further comprises text comprising a message instructing the operator where to place the ultrasound device in order to capture the image of the target anatomical view. 9. The ultrasound system of claim 1 , wherein the handheld computing device is further configured to: determine when the ultrasound device is properly positioned; provide a confirmation that the ultrasound device is properly positioned; and provide a message instructing the operator to hold the ultrasound device in place. 10. The ultrasound system of claim 1 , wherein the handheld computing device is configured, when identifying the target anatomical view of the subject to be imaged by the ultrasound device, to identify a target anatomical view which can be used to calculate ejection fraction. 11. The ultrasound system of claim 1 , wherein the handheld computing device is further configured to: calculate results based on ultrasound images collected by the ultrasound system, wherein the results comprise ejection fraction and ventricle diameter; and display the ejection fraction and ventricle diameter results. 12. The ultrasound system of claim 11 , wherein the handheld computing device is further configured to display whether the ejection fraction result or the ventricle diameter result is in an abnormal range. 13. The ultrasound system of claim 1 , wherein the fine instruction comprises an augmented reality interface comprising: a non-acoustic image of the subject captured by a camera of the computing device; and an instruction superimposed on the non-acoustic image of the subject indicating how the operator should move the ultrasound device in order to capture the image of the target anatomical view. 14. The ultrasound system of claim 13 , wherein the fine instruction further comprises text instructing the operator how to move the ultrasound device. 15. The ultrasound system of claim 13 , wherein the instruction superimposed on the non-acoustic image of the subject indicating how the operator should move the ultrasound device in order to capture the image of the target anatomical view is animated. 16. The ultrasound system of claim 13 , wherein the camera comprises a front-facing camera, and the subject is the operator. 17. The ultrasound system of claim 1 , wherein the handheld computing device is further configured to prompt the operator to input whether the subject is experiencing paroxysmal nocturnal dyspnea. 18. The ultrasound system of claim 1 , wherein the handheld computing device is further configured to: instruct the operator to capture an image of a barcode with a camera of the computing device; obtain medical information of the subject using the barcode; display the medical information of the subject; and prompt the operator to confirm that the medical information is correct. 19. The ultrasound system of claim 1 , wherein the handheld computing device is further configured to instruct the operator to apply gel to the ultrasound device. 20. The ultrasound system of claim 1 , wherein the handheld computing device comprises a smartphone or tablet.

Assignees

Inventors

Classifications

  • G06V10/82Primary

    using neural networks · CPC title

  • Measuring pulse or heart rate · CPC title

  • Measuring blood flow · CPC title

  • to determine blood output from the heart · CPC title

  • for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules · CPC title

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Frequently asked questions

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What does patent US11928859B2 cover?
Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular…
Who is the assignee on this patent?
Bfly Operations Inc
What technology area does this patent fall under?
Primary CPC classification G06V10/82. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 12 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).